AI video just got a massive price cut, and coding just got a "hands-off" upgrade. The Big News: Google Veo 3.1 Lite: Google just slashed the cost barrier for AI video. Developers can now build high-volume video apps at less than half the price of Veo 3.1 Fast, without
GENERATIVE AI
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Major AI Companies Collaborate: MiniMax, Kimi, GLM, Xiaomi Partnership
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Wut. We work with MiniMax, Kimi, GLM, Xiaomi, the whole gang.
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Tips for Building Successful AI Apps in 2026
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It's the year of the #AI app: Tips to build a successful one buff.ly/cqyIYk3 @InformationWeek #ResponsibleAI Cc @DeepLearn007 @Nicochan33 @Ym78200 @akwyz @kalydeoo
→ View original post on X — @nicochan33, 2026-04-06 02:03 UTC
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Ken Griffin echoes AI hype concerns, questions actual productivity gains
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When Citadel CEO Ken Griffin sounds almost exactly like @garymarcus, Silicon Valley has a serious problem.
— Gary Marcus (@GaryMarcus) 6 avril 2026
That moment has come. https://t.co/JSmQpnUjYBWhen Citadel CEO Ken Griffin sounds almost exactly like @garymarcus, Silicon Valley has a serious problem. That moment has come. Big Brain AI (@realBigBrainAI) Citadel CEO Ken Griffin on why the AI boom might be the most overhyped tech cycle we have ever seen: This year alone, data center spending in the United States is projected to exceed $500 billion. And Griffin wants to know what all of that money is actually buying. "You're not going to generate this kind of spend unless you're going to make a promise. You're going to profoundly change the world." In his view, the scale of the capital commitment demands the scale of the promise. And when the promise has to be that big, hype becomes inevitable. "Is it hype? Of course." Griffin isn't arguing that AI is worthless. He sees real impact in certain areas like call centers and software engineering. But for the broader white collar workforce, he's far less convinced. He points to a recent Harvard paper that coined the term "AI work slop." It looks impressive on the surface, but falls apart the moment you look closer. He saw it firsthand inside Citadel. A colleague running their commodities business handed him a report generated by an AI engine. "The first few sentences like, 'Wow, that's really insightful.' And then you go down below that and it's all garbage." For Griffin, this is the defining tension of the current AI cycle. The industry needs to promise transformation to justify the investment. But the actual productivity gains, for most jobs, haven't shown up yet. We have seen this pattern before. Transformative technology attracting massive capital well ahead of proven results. When the hype finally settles, will AI have actually changed anything at all? — https://nitter.net/realBigBrainAI/status/2040814298965176520#m
→ View original post on X — @garymarcus, 2026-04-06 01:55 UTC
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12000% output increase through AI innovation
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thank YOU for making it, matt – i don't think i'll see a 12000% increase in my output as you have, but never say never.
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SHINE: Hypernetwork Generates LoRA Adapters from Context Instantly
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What if LLMs could instantly absorb new context directly into their parameters? Researchers from Peking University, University of Oxford, Technion, and NVIDIA present SHINE! SHINE is an innovative hypernetwork that, in a single pass, generates high-quality LoRA adapters directly from diverse contexts. This effectively bakes temporary contextual knowledge into the LLM’s core parameters, turning it into lasting skill without any traditional fine-tuning. It smartly reuses the LLM's own frozen parameters for efficiency. This breakthrough dramatically cuts down on time, computation, and memory costs compared to supervised fine-tuning (SFT). SHINE outperforms SFT across various tasks, especially in complex question answering by embedding knowledge directly, offering outstanding performance and massive scalability potential. SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass arXiv: arxiv.org/abs/2602.06358 GitHub: github.com/Yewei-Liu/SHINE Hugging Face: huggingface.co/collections/Y… Our report: mp.weixin.qq.com/s/sy1L2RoWu… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-06 01:11 UTC
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Crypto Billionaire Invests $1 Billion in Brain-Based AI Technology
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The Crypto Billionaire Betting $1 Billion To Build AI Based On The Human brain 🧠 piped.video/Mp_K9V5tkVQ?si=g1Im… via @YouTube #artificialintelligence #AI #brain #tech #humanbrain @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0 @EvanKirstel @RLDI_Lamy @Analytics_699 @Khulood_Almani @tewoz @chidambara09 @IsabellePiel29 @ClementIsa @SvetBnov @mallys @jeancayeux @aure79lien @EricTIXADOR @thierry_pires @DanielleLargier @CurieuxExplorer @DigitalColmer @nincoroby @Guillaume_Rio @CecileGauffriau @MadiSeydi @DataScienceDojo @KirkDBorne @dhinchcliffe @jeffkagan
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Hermes Agent Generates 3Blue1Brown Style Math Animations Automatically
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🚨 ESTO ES UNA LOCURA ABSOLUTA
— Erick (@ErickSky) 6 avril 2026
Ahora le dices a Hermes Agent un concepto matemático cualquiera… y te genera una animación exacta estilo 3Blue1Brown en segundos.
Esto democratiza el contenido educativo de nivel élite.
El futuro de enseñar (y aprender) ya llegó. https://t.co/FAvGi2c7Rq🚨 THIS IS ABSOLUTELY INSANE Now you just tell Hermes Agent any mathematical concept… and it generates an exact 3Blue1Brown-style animation in seconds. This democratizes elite-level educational content. The future of teaching (and learning) is already here. — Nous Research (@NousResearch) Introducing the Manim skill for Hermes Agent. Manim is an engine for creating precise programmatic animations for mathematical and technical explainers, made famous by the @3blue1brown channel. [Video] — https://nitter.net/NousResearch/status/2040931043658567916#m [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-06 00:54 UTC
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OpenAI Valuation Betting on Polymarket Instead of Direct Investment
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No sorry you can’t invest in OpenAI, you’re not an accredited investor. But you can bet all your money on what the OPENAI valuation will be on @Polymarket. It’s safer this way for you.
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Anthropic restricts open source access while OpenAI supports subscriptions
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Anthropic seems to hate open source and blocked us (unless you pay a lot), OpenAI supports the subscription officially.